Comparison of in-hospital and out-of-hospital cardiac arrest of trauma patients in Qatar by Furqan B. Irfan (13359828)

“…IHCAT was associated with a higher mean GCS score and a higher rate of initial shockable rhythm and cardiac re-arrest, and improved survival rates.…”

Hepato‐splanchnic fluxes during exercise in patients with cirrhosis—a pilot study by Stefanos Volianitis (22155835)

Driving simulation sickness and the sense of presence: Correlation and contributing factors by Mustafa Almallah (17280568)

“…Results showed that females reported significantly higher SS scores than males. An increasing trend in the SS was observed with the increase of age. …”

Electrochemical and thermodynamic study on the corrosion performance of API X120 steel in 3.5% NaCl solution by Khuram Shahzad (575887)

“…The overall results revealed that PEI significantly decreases the corrosion rate of API X120 steel with inhibition efficiency of 94% at a concentration of 100 μmol L⁻¹. …”

Trends in criminal convictions in Japan for vehicle collisions where one driver suffers from an epileptic seizure by Mineko Baba (19774386)

“…<p dir="ltr">For the last fourteen years in Japan, casualties due to traffic collisions have decreased. There were 9,073 traffic fatalities in 2000 and 4,113 in 2014. …”

Effect of community-based intervention on knowledge and practice of rural mothers toward children home injuries by Marwa Mamdouh Shaban (18000123)

“…</p><h3>Results </h3><p dir="ltr">The findings revealed that around 62.5% of the male children had home injuries lasting 6 months or less before the research. The mean total knowledge score increased from 39 ± 5.4 in the pretest to 41 ± 9.0 in the posttest, while the mean total practice score increased from 31.2 ± 5.7 in the pretest to 48.6 ± 9.7 in the posttest. …”

Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm by Abu Zitar, Raed

“…The slime mould algorithm (SMA) gives good results in finding the best solutions to optimization problems. …”
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The Colonial impacts on French trade patterns by El Kallab, Tania

“…Controlling for the main gravity model factors, our results suggest that higher French settlement increase the French imports and exports of all goods except the imports of agricultural raw materials which increase with less settlement meaning that “Extractivist” policies do not need to settle. …”
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''Effectiveness of Non-invasive Positive Pressure Ventilation in ELBW Infants: A Comparison of Successful and Failed Outcomes'' by Ratheesh Paramban (17046388)

“…The duration of NIPPV support was significantly longer in the NIPPV-success group compared to the NIPPV-failure group (mean 36+_27.6 hours vs 9.4+_21.3 hours, p<0.001), 2 babies in the NIPPVS we later intubated at mean 209 hours vs 9.4 hours in the NIPPV-F group, due to increased work of breathing and FiO2 requirement. …”

Thrombophilic genetic anomalies and their association with dialysis initiation age in a cohort of Lebanese hemodialysis patients by Barbari, A.

“…We stratified patients by quartiles according to their mean score of genetic mutations and traditional risk factors, as well as their mean age at dialysis initiation. …”
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Improving MRI Resolution: A Cycle Consistent Generative Adversarial Network-Based Approach for 3T to 7T Translation by Zakaria Shams Siam (22048001)

“…Utilizing a post-processing technique, the best performing model generated 7T MRI from 3T MRI with a structural similarity index measure (SSIM) of 83.80%, peak SNR (PSNR) of 26.25, normalized mean squared error (NMSE) of 0.0088 and normalized mean absolute error (NMAE) of 0.0630. …”

Solar power forecasting beneath diverse weather conditions using GD and LM-artificial neural networks by Sharma, Neetan

“…The model output has been presented in root mean square error and mean absolute percentage error. …”
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Prevalence and Phylogenetic Analysis of Parvovirus (B19V) among Blood Donors with Different Nationalities Residing in Qatar by Doua Abdelrahman (17280667)

Clinical characteristics and treatment outcomes of coats disease in a Saudi Arabian population by Al-Qahtani, Abdullah

“…Results: The most common presenting complaint was decreased visual acuity followed by strabismus and then leukocoria. …”
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STEM: spatial speech separation using twin-delayed DDPG reinforcement learning and expectation maximization by Muhammad Salman Khan (7202543)

“…For stationary sources, the proposed system gives satisfactory performance in terms of quality, intelligibility, and separation speed, and generalizes well with the test data from a mismatched speech corpus. …”

Skeletal, dentoalveolar and soft tissue effects of different maxillary expansion appliances in cleft lip/palate patients: A systematic review and frequentist network meta-analysis by Maged S. Alhammadi (14150757)

“…The iMini-Molars (iMini-M) was the most effective appliance for increasing maxillary skeletal width (mean: 0.89 mm [range: 0.01–1.78]), with the hyrax following closely behind. …”

Extramedullary haematopoiesis in patients with transfusion dependent β-thalassaemia (TDT): a systematic review by Eihab A. Subahi (12217761)

“…</p><h3>Results</h3><p dir="ltr">Data from 253 cases of EMH in BTM patients were extracted with a mean age of 35.3 years. Mean haemoglobin at presentation with EMH was 8.2 mg/dL. …”

Cardiorespiratory Fitness and Performance Adaptations to High-Intensity Interval Training: Are There Differences Between Men and Women? A Systematic Review with Meta-Analyses by Merilyn Lock (9440240)

“…Data were sub-grouped for men and women, baseline training level, mean age, intervention type, and intervention length. …”

Testing and Evaluation of a Smart Irrigation System Towards Smart Landscaping in UAE by Al Sulaimani, Fatma

“…The population is growing drastically causing an increase in urban development and landscape expansion, which as a result increase the demand for water. …”
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Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms by Humna Khan (17541972)

“…Statistical parameters i.e., mean absolute error (MAE), root mean square error (RMSE), and coefficient of determination (R²), were used to assess the prediction accuracy of the models. …”